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About:
The effect of variant interference on de novo assembly for viral deep sequencing
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covidontheweb.inria.fr
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research paper
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Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
The effect of variant interference on de novo assembly for viral deep sequencing
Creator
Fei, Terry
Marine, Rachel
Ng, Fan
Castro, Christina
Ramos, Edward
source
BioRxiv; MedRxiv
abstract
Viruses have high mutation rates and generally exist as a mixture of variants in biological samples. Next-generation sequencing (NGS) approach has surpassed Sanger for generating long viral sequences, yet how variants affect NGS de novo assembly remains largely unexplored. Our results from >15,000 simulated experiments showed that presence of variants can turn an assembly of one genome into tens to thousands of contigs. This “variant interference” (VI) is highly consistent and reproducible by ten most used de novo assemblers, and occurs independent of genome length, read length, and GC content. The main driver of VI is pairwise identities between viral variants. These findings were further supported by in silico simulations, where selective removal of minor variant reads from clinical datasets allow the “rescue” of full viral genomes from fragmented contigs. These results call for careful interpretation of contigs and contig numbers from de novo assembly in viral deep sequencing.
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2019-10-22
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bibo:doi
10.1101/815480
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medrxiv
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1ab72d9b1f4c39bdce18979376014b725ddb7d14
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https://doi.org/10.1101/815480
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The effect of variant interference on de novo assembly for viral deep sequencing
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bioRxiv
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covid:1ab72d9b1f4c39bdce18979376014b725ddb7d14#body_text
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named entity 'viral'
named entity 'pairwise'
named entity 'Next'
named entity 'rescue'
named entity 'de novo assembly'
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